Service

Integrations & IoT

GPS trackers, CAN bus, medical sensors and clinic systems — we turn device data streams and disconnected systems into live products.

Typical timeline
1–12 monthsFrom one API to a telemetry platform
Data streaming
Apache Kafka for real-time load
Devices we’ve worked with
GPS trackers, CAN bus, CGM sensors

What we connect

Hardware, legacy systems and third-party services — into one reliable data flow.

  • Vehicle telematics

    GPS trackers and CAN-bus data: positions, speed, fuel, engine hours and driving behaviour.

  • Medical & wearable sensors

    Continuous measurement streams with calibration, outlier filtering and backfilling.

  • Proprietary protocols

    We parse vendor data formats and build reliable intake, even without public documentation.

  • Clinic & enterprise systems

    Two-way exchange with HIS, ERP and CRM: patients, schedules, orders and records.

  • Event streaming

    Kafka-based pipelines that handle high message volume without losing data.

  • Payments & third-party APIs

    Payment providers, marketplaces, messengers and video services.

What’s included

Data you can rely on

We design for connection drops, bad readings and peak load from day one.

  • Analysis of devices, protocols and data flows
  • Protocol parsing and data normalisation
  • Streaming pipelines on Apache Kafka
  • Handling of drops, gaps and outliers
  • APIs and two-way system sync
  • Live dashboards, maps and alerts
  • Load testing on realistic data volumes
  • Monitoring and support in production

How the project runs

More about our process →
  1. Systems analysis1–3 weeks
  2. Interface design2–4 weeks
  3. Development3–9 months
  4. Testing & launch1–2 weeks
  5. Support & growthOngoing

Technologies

  • Apache Kafka
  • C++
  • Java
  • Python
  • PostgreSQL
  • + your devices & systems
FAQ

About integrations

Yes. We did exactly that for wearable glucose sensors: parsed the vendor’s protocol, normalised the stream and handled calibration and gaps.

Devices and apps buffer data locally and send it when the connection is back. The platform fills the gaps in the right order, so history stays complete.

Our telemetry platforms run on Apache Kafka and process thousands of messages per second. We load-test for your expected volume with room to grow.

Yes. We have built two-way exchange with clinic information systems, ERPs and CRMs — patients, schedules, orders and records.

What do you need to connect?

Tell us about your devices or systems — we’ll assess the integration and suggest an architecture.

Project request

What do you need?
Up to 3 files, 10 MB each: PDF, Word, PowerPoint, Excel, images or ZIP.

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